Software Engineer II, Lab Software

About the role

We are seeking a Software Engineer II with backend experience to join our Lab Software Team (LaS).

What You'll Be Building

• Design & Build UI and APIs
• Database Architecture & Scaling
• Application Development
• Performance & Reliability
• Cloud & Infrastructure
• Cross-Functional Collaboration

What You'll Need To Succeed

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 2-5 years of engineering experience building and deploying large-scale systems in production.
• You must be strong in backend.
• Full Stack Development: Experience developing web apps across the full stack (React, TypeScript, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)
• Hands on experience using AI coding assistants to drive productivity is required.
• Communication & Collaboration: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.
• Problem Solving: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.
• Bonus Points For Domain Background: Exposure to laboratory software for life sciences, material sciences, or related fields.
• Laboratory Automation Experience: Experience with laboratory devices, robotics, or hardware drivers.
• Orchestration Systems: Experience with software orchestration platforms (Airflow, Prefect, Temporal, Dagster) and design patterns.
• Cloud & DevOps Knowledge: Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).

Compensation

We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.

About LILA

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy.